How to Install and Uninstall python3-pyxdameraulevenshtein Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 22,2024

1. Install "python3-pyxdameraulevenshtein" package

In this section, we are going to explain the necessary steps to install python3-pyxdameraulevenshtein on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-pyxdameraulevenshtein
            
                    
    
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2. Uninstall "python3-pyxdameraulevenshtein" package

Learn how to uninstall python3-pyxdameraulevenshtein on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-pyxdameraulevenshtein
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-pyxdameraulevenshtein package on Ubuntu 21.10 (Impish Indri)

Package: python3-pyxdameraulevenshtein
Architecture: amd64
Version: 1.6.1-2
Priority: optional
Section: universe/python
Source: pyxdameraulevenshtein
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 77
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy, libc6 (>= 2.4)
Filename: pool/universe/p/pyxdameraulevenshtein/python3-pyxdameraulevenshtein_1.6.1-2_amd64.deb
Size: 19588
MD5sum: 5c1ff3f81fd9dd7dbfbda1c8d97d4d3c
SHA1: 3be70a5760c9877b1286ed56e7d127e5a49b5410
SHA256: d657b355d565ce9bc43b51cf1c4cdb23fe3ff98f9ae4d975911acc06ea0bb203
SHA512: 6d3a6830f51cfb2bf0383c49e4b65ecbfbe01612702f94520ffde71ad9234d42e04034fda69f4c1893f5b72e9e40a1219e233c931a8b56da9f690bbe616f7342
Homepage: https://github.com/gfairchild/pyxDamerauLevenshtein
Description-en: Fast Damerau-Levenshtein (DL) edit distance implementation
This Python library for computing the Damerau-Levenshtein (DL) edit distance
for sequences has been developed using Cython for speed.
Description-md5: c7f4031d3cfe9bcf2453114866b0bda0